Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US
- Compensation
- Not disclosed
- Location
- US Remote - MA
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Part time
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering, with several years in a senior or leadership capacity.
- 5+ years of deep, expert-level knowledge of at least one major cloud provider (e.g., AWS, Azure, or GCP), including their AI/ML and containerization services.
- 5+ years of hands-on experience with ML orchestration and platform tools like Kubeflow, MLflow, or Amazon SageMaker.
- 5-8+ years of deep expertise with Docker and Kubernetes for managing and scaling AI/ML workloads.
- 5-8+ years strong coding skills in languages such as Python, Go, or Bash for automation.
Nice to have
- Proficiency with tools like Terraform or Ansible to manage and provision infrastructure.
- Experience building robust and automated CI/CD pipelines using tools like GitHub Actions, GitLab CI/CD, or Jenkins.
- Excellent collaboration and communication skills to work effectively with cross-functional technical and business teams.
Full description
Job Title
Principal DevOps Engineer/Lead (AI/ML Infrastructure) - Remote US
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Location(s)
US Remote - MA
About Us
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.
Find your future at Revvity
Revvity Signals makes market-leading software that empowers scientists across Life Science R&D, clinical research, and specialty chemicals to make better medicines and products, faster. Our flagship offering is the SaaS Signals Research Platform that provides knowledge capture, collaboration, analysis and visualization tools across the full depth and breadth of scientific discovery workflows. The viral adoption of our software is accelerating innovation, expediting drug development for a healthier world and facilitating the creation of sustainable materials.
Join us as a Principal DevOps Engineer/Lead (AI/ML Infrastructure),where you'll play a pivotal role building out, maintaining and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experience developers building out AI capabilities within our product.
We are seeking a senior-level technical expert working within the R&D organization, who integrates and orchestrates the entire lifecycle of artificial intelligence (AI) and machine learning (ML) projects.
You will be responsible for bridging the gap between AI researchers, and traditional software development teams to ensure AI models are reliably built, tested, and deployed into production at scale.
This role requires a blend of deep expertise in DevOps principles, software engineering, and AI/ML infrastructure, with a strong focus on automation, scalability, and security.
Main functions
- Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
- Build and maintain the continuous integration and continuous deployment (CI/CD) pipelines specifically for AI models, managing everything from data ingestion to model serving and monitoring
- Act as a subject matter expert and mentor for junior engineers, driving the adoption of best practices for AI/ML platform development, code management, and deployment
- Work closely with AI researchers, and software engineers to optimize performance and streamline the end-to-end development and experimentation process.